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Multivariate Gaussian mixture model with a determinant point process prior to promote the discovery of parsimonious components from observed data. See Xu, Mueller, Telesca (2016) <doi:10.1111/biom.12482>.
| Version: | 0.1.1 |
| Imports: | stats, mvtnorm |
| Published: | 2020-01-14 |
| Author: | Yanxun Xu [aut], Peter Mueller [aut], Donatello Telesca [aut], David J. H. Shih [aut, cre] |
| Maintainer: | David J. H. Shih <djh.shih at gmail.com> |
| BugReports: | https://bitbucket.org/djhshih/dppmix/issues |
| License: | GPL (≥ 3) |
| URL: | https://bitbucket.org/djhshih/dppmix |
| NeedsCompilation: | no |
| Citation: | dppmix citation info |
| Materials: | README |
| CRAN checks: | dppmix results |
| Reference manual: | dppmix.pdf |
| Package source: | dppmix_0.1.1.tar.gz |
| Windows binaries: | r-devel: dppmix_0.1.1.zip, r-release: dppmix_0.1.1.zip, r-oldrel: dppmix_0.1.1.zip |
| macOS binaries: | r-release (arm64): dppmix_0.1.1.tgz, r-oldrel (arm64): dppmix_0.1.1.tgz, r-release (x86_64): dppmix_0.1.1.tgz, r-oldrel (x86_64): dppmix_0.1.1.tgz |
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